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4 papers · 1 filter
Greedy Gauss-Newton algorithm for finding sparse solutions to nonlinear underdetermined systems of equations
Mårten Gulliksson, Anna Oleynik
We consider the problem of finding sparse solutions to a system of underdetermined nonlinear system of equations. The methods are based on a Gauss-Newton approach with line search…
An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping
Daniel R. Canelhas, Erik Schaffernicht, Todor Stoyanov +2
In order to deal with the scaling problem of volumetric map representations we propose spatially local methods for high-ratio compression of 3D maps, represented as truncated signe…
Dimensional reduction in Bose-Einstein condensed clouds of atoms confined in tight potentials of any geometry and any interaction strength
P. Sandin, M. Ögren, M. Gulliksson +3
Motivated by numerous experiments on Bose-Einstein condensed atoms which have been performed in tight trapping potentials of various geometries (elongated and/or toroidal/annular),…
Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix-variate location mixture of normal distributions
Taras Bodnar, Stepan Mazur, Nestor Parolya
In this paper we consider the asymptotic distributions of functionals of the sample covariance matrix and the sample mean vector obtained under the assumption that the matrix of ob…